4 citations · 7 across the 6 of their papers we have counts for
3 papers · 1 filter
Neural-Network Holographic Model of the QCD Phase Transition under Lattice and HRG Constraints
De-Xing Zhu, Li-Qiang Zhu, Xun Chen +2
Within a neural-network-based holographic framework, we incorporate lattice QCD (LQCD) and Hadron Resonance Gas (HRG) data to train the model and predict the location of the QCD cr…
Ultra fast, event-by-event heavy-ion simulations for next generation experiments
Manjunath Omana Kuttan, Kai Zhou, Jan Steinheimer +1
We present a novel deep generative framework that uses probabilistic diffusion models for ultra fast, event-by-event simulations of heavy-ion collision output. This new framework i…
Toward a foundation model for heavy-ion collision experiments based on point-cloud diffusion
Manjunath Omana Kuttan, Kai Zhou, Jan Steinheimer +1
A novel point cloud diffusion model for relativistic heavy-ion collisions, capable of ultra-fast generation of complete, event-by-event collision output, is introduced. When traine…